Statistical Analyst

Statistical Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Statistical Analyst job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • SAS
  • R (Programming Language)
  • Statistical Modeling
  • SAS Programming
  • Statistics
  • SQL
  • IBM SPSS
  •  Find out what your resume's missing
  • Statistical Data Analysis
  • Python (Programming Language)
  • Data Mining
  • Tableau
  • Data Analysis
  • Predictive Modeling
  • Machine Learning
  • CDISC Standards
  • Predictive Analytics
  • Data Science
  • Biostatistics
  • Analytics
  • Ear Prompter
  • Visual Basic for Applications (VBA)
  • SAP BusinessObjects
  • Econometrics
  • Databases
  • Credit Scoring
  • Business Intelligence (BI)
  • Microsoft Access
  • Segmentation

  •   Show full list

Resume Skills: Statistical Tools

Resume Skills: Programming Languages

Resume Skills: Mathematical and Statistical Techniques

Resume Skills: Other

Resume Skills: Data Analysis Tools

Resume Skills: Big Data

Resume Skills: Machine Learning Libraries

Resume Skills: Software

Resume Skills: Quant Tools

Resume Skills: Statistics and Econometrics

Resume Skills: Financial Modelling

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Statistical Analyst Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Statistical Analyst Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Statistical Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2022 - Present
Senior Statistical Analyst
Leveraged predictive analytics and machine learning to improve key performance indicators by 37%
Developed comprehensive data-mining strategies that increased efficiency by 25%
Devised advanced statistical analyses with Python, improving business decision making
Microsoft June 2017 - December 2021
Statistical Analyst
Formulated an advanced forecasting model with the use of Statistical Data Analysis, reducing planning errors by 40%
Streamlined data flow and management processes using powerful SQL scripts, increasing analytics speed by 35%
Utilized IBM SPSS for comprehensive analysis of company's data leading to 15% improved market segmentation
Coached.com April 2015 - May 2017
Junior Statistical Analyst
Assessed company's data utilizing SAS programming, improving strategic planning accuracy by 20%
Applied R programming language for predictive modeling, resulting in 15% improvement in sales forecasting precision
EDUCATION
Resume Worded University May 2017
Master of Statistics and Data Science
Received the Distinguished Student Award for exceptional academic performance
Resume Worded Academic Center April 2015
Bachelor of Science in Mathematics and Statistics
Graduated Magna Cum Laude (Top 10% of the class)
Dean’s List 2013 and 2014
SKILLS
Statistical Tools: SAS, STATA, SPSS, Minitab, Tableau, PowerBI
Programming Languages: Python (advanced), R (advanced), SQL (proficient), Java (intermediate)
Mathematical and Statistical Techniques: Regression, Machine Learning, Predictive Modeling, Time Series Analysis, Hypothesis Testing, Bayesian Statistics
Other Skills: Data Cleaning, Data Visualization, Quantitative Analysis, Risk Assessment and Mitigation
OTHER
Certifications: SAS Certified Advanced Programmer for SAS 9, Certified Data Science Specialist
Professional Memberships: American Statistical Association, Institute of Mathematical Statistics
Projects: Developed a predictive model for customer churn rate that increased prediction accuracy by 30%
Volunteering: Volunteer Data Analyst for Local Non-Profit Organization
Your Name
Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded February 2022 - Present
Senior Data Analyst
Applied SAS programming and statistical modeling to cut operating costs by $2M annually
Employed advanced data analytics algorithms using Python which increased efficiency by 30%
Optimized data analysis techniques using Tableau, presenting insightful reports contributing to a 20% increase in overall productivity
Google August 2016 - January 2022
Data Analyst
Leveraged IBM SPSS and R for data modeling, reducing reporting errors by 30%
Built a predictive analytics model with SAS, leading to a 17% increase in accurate customer behavior predication
Utilized SQL to streamline data management and analysis, enhancing departmental efficiency by 25%
Coached.com May 2014 - July 2016
Junior Data Analyst
Facilitated data interpretation with Python, resulting in faster and 15% more efficient decision-making processes
Applied statistical data analysis for improved sales planning, increasing forecast accuracy by 20%
EDUCATION
Resume Worded Institute February 2016
Master's in Data Science and Artificial Intelligence
Specializations in Machine Learning and Data Visualization
Resume Worded Academic Center May 2014
Bachelor's in Computer Science
Graduated with honors; Ranking in top 5%
Won 1st prize in Annual Data Analysis contest
SKILLS
Programming Languages: Python (Proficient), R (Proficient), SQL (Proficient), JavaScript (Intermediate), MATLAB (Intermediate)
Data Analysis Tools: Tableau, Power BI, Google Analytics, Excel, SPSS, SAS
Big Data: Hadoop, Spark, Hive, Pig, MongoDB, NoSQL
Machine Learning Libraries: TensorFlow, Scikit-Learn, Keras, PyTorch
OTHER
Certifications: Tableau Desktop Certified Professional, Google Analytics Individual Qualification
Awards: Google Impressa Award for exceptional achievement in data analysis projects.
Projects: Developed a predictive Model for Customer Churn with 85% accuracy
Volunteering: Mentoring underprivileged students for Code.org since 2017
Your Name
Quantitative Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded March 2022 - Present
Senior Quantitative Analyst
Implemented machine learning strategies for predictive modeling in finance, boosting portfolio returns by 10%
Executed data-mining strategies using SAS Programming, leading to a 27% reduction in risk-related losses
Employed advanced statistical analyses using Python and R to maximize profits by $5M annually
Goldman Sachs July 2018 - February 2022
Quantitative Analyst
Utilized advanced SQL queries to improve data analytics process, increasing accuracy of risk assessment by 20%
Leveraged Statistical Data Analysis to enhance financial modeling, resulting in an improved investment strategy by 15%
Adopted IBM SPSS for data modeling and interpretation leading to 10% improvement in capital optimization
Coached.com June 2016 - June 2018
Junior Quantitative Analyst
Applied SAS for data analysis, improving risk assessment accuracy by 15%
Applied predictive analytics using R for risk mitigation, reducing operational risk by 10%
EDUCATION
Resume Worded University June 2016
Ph.D. in Quantitative Finance
Thesis: A Deep Dive into Risk Management and Financial Modelling
Resume Worded Institute May 2014
Master of Business Administration (MBA) - Finance
Coursework: Quantitative Analysis, Portfolio Management, Derivatives
Elected MBA Association Treasurer
SKILLS
Software: R, Python, SAS, MATLAB, SQL, SPSS
Quant Tools: Bloomberg Terminal, Monte Carlo Simulation, Time Series Analysis
Statistics and Econometrics: Hypothesis Testing, Regression Analysis, ANOVA, Multivariate Analysis
Financial Modelling: Asset Pricing, Risk Modelling, Capital Structuring, Corporate Finance
OTHER
Certifications: Chartered Financial Analyst (CFA) - Level III, FRM Certified
Publications: Published in Journal of Quantitative Finance, Quantitative Finance Insights and Journal of Risk Management
Professional Associations: Member of the International Association for Quantitative Finance
Awards: Goldman Sachs Excellence in Risk Analysis Award, Resume Worded Top Performer Recognition

How do I add skills to a Statistical Analyst resume?

1
Review the job posting closely.

Go through the Statistical Analyst posting you're applying to, and identify hard skills the company is looking for. For example, skills like SQL, Statistical Modeling and R (Programming Language) are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like SAS Programming and IBM SPSS.

Add other common skills from your industry - such as Statistics, SAS and Statistical Data Analysis - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Analytics, Business Intelligence (BI) and Python (Programming Language) - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Statistical Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

5
Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Statistical Analyst.

6
Use the exact job title.

Try to add the exact job title, Statistical Analyst, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Statistical Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Statistical Analyst job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Statistical Analyst Skills and Keywords to Include On Your Resume

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Statistical Analyst Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Professional


Resume Example
Highlights (Free)


Resume Example
Modern Two-Column


Resume Example
Clean Modern


Resume Example
Entry-Level (Free)


Resume Example
Concise


Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you put on a Statistical Analyst resume?

The most common skills and keywords we found on Statistical Analyst resumes and job postings were SAS, R (Programming Language), Statistical Modeling, SAS Programming, Statistics, SQL, IBM SPSS and Statistical Data Analysis.

Skills like Segmentation, Python (Programming Language), Econometrics, Business Intelligence (BI) and Analytics also appeared on related job postings.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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